plotLM: Scatter plot of Generalized Procrustes Analysis (GPA)...
In monogeneaGM: Geometric Morphometric Analysis of Monogenean Anchors

Description Usage Arguments Details Author(s) References See Also Examples

This function generates a scatter plot of GPA coordinates of anchor landmarks, with the option of making a wireframe plot by joining mean GPA coordinates of adjacent landmarks.

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plotLM(x, tit = "", pointscale = 1, axispointscale = 1, meansize = 1,
  polygon.outline = FALSE, xbound = NULL, ybound = NULL,
  pch.suppress = FALSE)

`x`	an array containing GPA coordinate data of anchor landmarks
`tit`	title of the plot
`pointscale`	a numeric constant for controlling the symbol size for observations
`axispointscale`	a numeric constant for controlling the font size of labels of values on the xy axes
`meansize`	a constant for controlling the symbol size of the mean coordinates
`polygon.outline`	if TRUE, a wireframe plot connecting all adjacent landmarks is made
`xbound`	a numeric vector specifying the range of x values for the plot
`ybound`	a numeric vector specifying the range of y values for the plot
`pch.suppress`	if TRUE, only the mean coordinates of the landmarks are plotted

The resulting scatter plot is an important graphical sanity check for potential problems after performing GPA.

Tsung Fei Khang tfkhang@um.edu.my

Khang TF, Soo OYM, Tan WB, Lim LHS. (2016). Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution. PeerJ 4:e1668.

procrustesFit, stdLM

data(liewi_gpa)

nice_title <- expression(paste("Dorsal anchor ", italic(L.liewi)))
plotLM(liewi_gpa, tit=nice_title, pointscale=0.8, axispointscale=0.8,
meansize=1.2, polygon.outline=TRUE,c(-.6,.6),c(-.6,.6) )